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. 2022 May 24;22(11):3966. doi: 10.3390/s22113966
Algorithm 1 DE Algorithm
  • begin

  •    randomly initialize the population

  •    evaluate the fitness Φ of all the individuals

  •    while (maximal number of generations Max_Gens is not reached) do

  •      begin

  •        for i=1 to Pop_Size do

  •           begin

  •             create a new trial individual xi by using one of the ten DE strategies

  •             if

  •               Φ(xi)Φ(xi)

  •                 insert xi in the new population

  •               else

  •                 insert xi in the new population

  •           end

  •      end

  • end